基于Zadeh-X变换的图像隐藏和挖掘技术

提出了用于底层图像挖掘和隐藏的Zadeh—X变换方法，同时巧妙的运用了人类视觉的对比度分辨率限制（只能分辨大于5个灰度／色度级的图像成份）对图像进行隐藏和挖掘。我们首先通过图像的灰度谱，获取图像的灰度分布信息，然后用Zadeh—X变换对原始图像进行白、黑或其它背景颜色的隐藏，隐藏后的图像具有很好的伪装性。我们同样也可用Zadeh—X变换从隐藏后的图像中把原始图像不失真地恢复出来。     

医学图像可视化与相关技术及应用

医学图像可视化是医学图像处理领域中一个十分重要而有价值的部分,它产生的时间不长,基本理论,技术和应用范围正在不断发展完善,本从医学图像中可视化的算法开始,介绍可视化中三维重建,图像配准融合等技术及其医学应用,并对医学图像可视化最新发展,尤其是结合PACS在图像数据库管理,在线可视化等方面的发展作较为全面的介绍。     

医学图像融合技术及其应用

医学图像融合技术，作为一种成像后处理技术，把医学图像有机的结合起来，从而为医学诊疗提供了更完善的图像信息，进一步提高了临床诊断和治疗的可靠性。本文着重介绍了图像融合技术的内容及其应用。     

医学图像可视化与相关技术及应用

医学图像可视化是医学图像处理领域中一个十分重要而有价值的部分。它产生的时间不长 ,基本理论、技术和应用范围正在不断发展完善。本文从医学图像可视化的算法开始 ,介绍可视化中三维重建、图像配准融合等技术及其医学应用 ,并对医学图像可视化最新发展 ,尤其是结合 PACS在图像数据库管理、在线可视化等方面的发展作较为全面的介绍     

医学图像分割技术

图像分割是制约医学图像在临床上广泛应用的关键性问题。医学图像分割则是图像分割的一个重要应用领域。本文讨论了医学图像分割的目的和意义，简述了医学图像分割技术的进展，对近年来医学图像分割技术进行了综述。     

医学图像分割技术研究

医学图像分割技术是医学图像处理和分析中的关键技术.医学图像分割在医学诊断中扮演着重要角色,是图像分割的一个重要应用领域.本文综述和讨论了近年来的医学图像发展概况、分割技术、研究热点及其医学图像分割的评价等问题,并简要讨论了每类分割方法的特点及医学图像分割发展趋势.     

医学图像融合技术的研究

利用图像融合技术,将不同模态的医学图像有机地结合在一起,可以充分利用各种医学图像的优点,为临床诊断和治疗提供帮助.本文主要介绍了医学图像融合技术的基本概念、发展情况、常用方法及面临的困难等,并对医学图像的研究前景作了预测.     

医学超声图像分割技术的研究及发展趋势

图像分割在医学超声图像的定量分析和定性分析中均扮演着十分重要的角色 ,它直接影响到后续分析和处理工作。目前 ,虽然文献中记载着大量的图像分割方法 ,但对于具有复杂特性的医学超声图像 ,这些方法往往显得无能为力。本文拟在分析医学超声图像特性的基础上 ,对医学超声图像分割方法作一综述和评价 ,并对其发展趋势进行了展望     

医学图像信息融合技术的发展

医学图像信息融合是医学图像处理、放射医学及医学影像学领域近几年兴起的一种新技术。应用医学图像信息融合技术 ,可以把不同模态的医学图像有机地结合起来 ,为临床诊断和治疗提供更完善的图像信息 ,从而使医学图像能更好地为现代医学服务。本文对医学图像信息融合技术及其研究现状作了详细的介绍和综述 ,并对其研究前景作了预测。     

医学超声图像分割技术

图像分割在医学超声图像的定量、定性分析中均扮演着重要的角色,它直接影响到后续的分析、处理工作.但因其本身所具有的复杂性,医学超声图像的分割实际上是一件非常困难的事情,至今仍是一个悬而未决的世界性难题.因此我们更为详细的了解医学超声图像的一些分割技术,才能对这些方法加以运用,使得这些技术相辅相成,在实际应用中才能根据需要结合起来,形成更好的分割效果.     

灰度谱分级平坦化理论

本文提出了一种新的理论-灰度谱分级平坦化来克服人类视觉对比度分辨率限制。它不是简单的按像素点所在灰度级分类，而是具有只要有像素点存在就能显示的功能。它能够以一个灰度级的高分辨率来显示图像的灰度信息。该理论可以用来挖掘实际存在却不能为人眼所见的图像的灰度信息，弥补人类的视觉限制。它将成为图像底层挖掘的通用的、基本的工具。     

联合图像专家组2000图像压缩方法的核医学应用研究

为研究联合图像专家组2000(Jo in t Photograph ic Expert G roup 2000,JPEG 2000)图像压缩方法在核医学中的应用,将无病变和有病变核医学静态图像用JPEG 2000软件压缩。对无损压缩图像,测量其压缩比。对有损压缩图像,由医生阅片,根据其结论作接收器操作特性(R ece iver operating characteristic,ROC)分析,获得各种图像压缩比的ROC曲线下的面积(A rea under curve,AUC),以其大小评价图像诊断质量;并将原始图像组AUC与各有损压缩图像组的AUC作配对t检验。实验发现,无损压缩的图像压缩比为(1.34±0.05)∶1。而有损压缩比越大,AUC越小。原始图像与压缩图像比较,压缩比为10∶1时没有显著性差异,压缩比更大时则有显著性差异。实验结果表明,无损压缩方法压缩比低,实用意义不大。有损压缩比不大于10∶1时,核医学静态图像的诊断质量得以保留。对核医学中的其它图像形式,可根据的图像性质,特别是固有统计噪声的大小,适当增减压缩比。     

图像的带参数二值化方法

这里提出一种图像的带参数的二值化方法。参数由我们提出的图像的灰度/色度谱分级平坦化技术给出。图像的带参数的二值化方法不仅在实现传统的黑白二值化方面,有强于Windows的绘图软件的黑白二值化功能,而且可以实现任意灰度间隔的二值化。因此该方法除能用于任意灰度起点的一般意义上的二值化外,特别适宜于图像的挖掘和隐藏。     

Medical Applications of Digital Image Morphing

The authors present a unique medical technical application for illustrating the success and/or failure of the physiological healing process as a dynamically morphed video. Two examples used in this report include the healing of a severely fractured humerus from an explosion in Iraq and the other of dramatic tissue destruction from a poisonous spider bite. For the humerus, several sequential x-rays obtained throughout orthopedic surgical procedures and the healing process were morphed together representing a time-lapsed video of the healing process. The end result is a video that demonstrates the healing process in an animation that radiologists envision and report to other clinicians. For the brown recluse spider bite, a seemingly benign skin lesion transforms into a wide gaping necrotic wound with dramatic appearance within days. This novel technique is not presented for readily apparent clinical advantage, rather, it may have more immediate application in providing treatment options to referring providers and/or patients, as well as educational value of healing or disease progression over time. Image morphing is one of those innovations that is just starting to come into its own. Morphing is an image processing technology that transforms one image into another by generating a series of intermediate synthetic images. It is the same process that Hollywood uses to turn people into animals in movies, for example. The ability to perform morphing, once restricted to high-end graphics workstations, is now widely available for desktop computers. The authors describe how a series of radiographic images were morphed into a short movie clip using readily available software and an average laptop. The resultant video showed the healing process of an open comminuted humerus fracture that helped demonstrate how amazingly the human body heals in a case presentation in a time-lapse fashion. Electronic supplementary material The online version of this article (doi ) contains supplementary material, which is available to authorized users.     

女性减肥者的体像问题与社会支持及性格的关系

目的研究女性减肥者的体像特征及相关因素。方法采用体像障碍自评量表、社会支持量表、艾森克个性问卷调查了100例减肥门诊女性就诊者，并与100例近5年无减肥经历女性对照。结果(1)女性减肥者，体像得分明显高于正常对照组。(2)女性减肥者的体像得分与收入、P分、N分明显正相关；与社会支持得分明显负相关，与BMI无相关性。结论女性减肥者，不管是否为单纯性肥胖，都存在较多的体像问题，且与特定得人格和社会支持有关。     

脉冲电场生物学效应及医学应用

脉冲电场能够产生许多不同于一般电场的生物学效应,尤其是纳秒脉冲对细胞的作用更为特殊。本文主要就不同的脉冲电场对细胞膜,胞内基质,细胞增殖等产生的生物学效应作相应的介绍。并在此基础之上分析多种生物效应在肿瘤治疗、基因治疗、以及药物输送等方面的研究现状。     

数字图像相关测量技术及其应用

数字图像相关法是一种可广泛应用于生物材料力学测试的光学非接触方法。介绍了该方法的原理和位移应变测量的基本测量步骤,并给出了三个实验例证。第一个例子讲述了该方法应用于牛心动脉（生物软组织材料）应力应变测试;第二个例子讲述了该方法用于测量牙本质（生物硬组织材料）断裂韧性,最后一个例子是该方法用于在微观尺度上测量牙本质的收缩变形。     

Google Glass for Documentation of Medical Findings: Evaluation in Forensic Medicine

Background

Google Glass is a promising premarket device that includes an optical head-mounted display. Several proof of concept reports exist, but there is little scientific evidence regarding its use in a medical setting.

Objective

The objective of this study was to empirically determine the feasibility of deploying Glass in a forensics setting.

Methods

Glass was used in combination with a self-developed app that allowed for hands-free operation during autopsy and postmortem examinations of 4 decedents performed by 2 physicians. A digital single-lens reflex (DSLR) camera was used for image comparison. In addition, 6 forensic examiners (3 male, 3 female; age range 23-48 years, age mean 32.8 years, SD 9.6; mean work experience 6.2 years, SD 8.5) were asked to evaluate 159 images for image quality on a 5-point Likert scale, specifically color discrimination, brightness, sharpness, and their satisfaction with the acquired region of interest. Statistical evaluations were performed to determine how Glass compares with conventionally acquired digital images.

Results

All images received good (median 4) and very good ratings (median 5) for all 4 categories. Autopsy images taken by Glass (n=32) received significantly lower ratings than those acquired by DSLR camera (n=17) (region of interest: z=–5.154, P<.001; sharpness: z=–7.898, P<.001; color: z=–4.407, P<.001, brightness: z=–3.187, P=.001). For 110 images of postmortem examinations (Glass: n=54, DSLR camera: n=56), ratings for region of interest (z=–8.390, P<.001) and brightness (z=–540, P=.007) were significantly lower. For interrater reliability, intraclass correlation (ICC) values were good for autopsy (ICC=.723, 95% CI .667-.771, P<.001) and postmortem examination (ICC=.758, 95% CI .727-.787, P<.001). Postmortem examinations performed using Glass took 42.6 seconds longer than those done with the DSLR camera (z=–2.100, P=.04 using Wilcoxon signed rank test). The battery charge of Glass quickly decreased; an average 5.5% (SD 1.85) of its battery capacity was spent per postmortem examination (0.81% per minute or 0.79% per picture).

Conclusions

Glass was efficient for acquiring images for documentation in forensic medicine, but the image quality was inferior compared to a DSLR camera. Images taken with Glass received significantly lower ratings for all 4 categories in an autopsy setting and for region of interest and brightness in postmortem examination. The effort necessary for achieving the objectives was higher when using the device compared to the DSLR camera thus extending the postmortem examination duration. Its relative high power consumption and low battery capacity is also a disadvantage. At the current stage of development, Glass may be an adequate tool for education. For deployment in clinical care, issues such as hygiene, data protection, and privacy need to be addressed and are currently limiting chances for professional use.     

医学影像数据分类方法研究综述

分类是医学影像图像计算机辅助诊断和模式识别领域的一个研究热点。本文在广泛文献调研的基础上,回顾了医学影像图像分类方法的发展历程,分析了其研究现状,对分类方法进行了较为全面的综述,并对其进行分类和比较,最后总结了医学影像数据分类挖掘研究领域存在的问题和发展前景。